CN113381949B

CN113381949B - Noise estimation method, device, receiver and storage medium of physical broadcast channel

Info

Publication number: CN113381949B
Application number: CN202010159329.8A
Authority: CN
Inventors: 刘君
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2020-03-09
Filing date: 2020-03-09
Publication date: 2022-10-28
Anticipated expiration: 2040-03-09
Also published as: CN113381949A

Abstract

The embodiment of the application discloses a noise estimation method, a device, a receiver and a storage medium of a physical broadcast channel, which belong to the technical field of communication. According to the embodiment of the application, when the receiver comprises the synchronous signal in the target resource unit group, the receiver can obtain n sample signals comprising the synchronous signal and the reference signal, and the corresponding noise covariance matrix of the result is calculated according to the n sample signals, so that more samples can be obtained during noise estimation of the target physical broadcast signal block, the noise estimation is more accurate, and the signal receiving performance of the receiver is improved.

Description

Noise estimation method, device, receiver and storage medium of physical broadcast channel

Technical Field

The embodiment of the application relates to the technical field of communication, in particular to a noise estimation method and device of a physical broadcast channel, a receiver and a storage medium.

Background

In the 5G New Radio (NR) technology, PBCH (Physical Broadcast Channel) is the first step of the downlink access procedure. The noise estimate of PBCH directly affects the receiver performance of PBCH, and thus the baseband communication function.

In some possible implementations, the receiver receives the input signal of PBCH through the front-end module, and then performs the steps of channel estimation, noise estimation, demodulation, and decoding on the data, thereby obtaining the broadcast information. In the demodulated input signal, the receiver needs the output result of channel estimation and the noise estimation result, and the accuracy of the noise estimation directly affects the receiving performance of the receiver.

Disclosure of Invention

The embodiment of the application provides a noise estimation method, a device, a receiver and a storage medium of a physical broadcast channel. The technical scheme is as follows:

according to an aspect of the present application, there is provided a noise estimation method of a physical broadcast channel, the method including:

acquiring a target resource unit group in a target physical broadcast channel block, wherein the target resource unit group is at least two resource units in a specified time frequency range in the target physical broadcast channel block;

acquiring n sample signals for the target resource unit group, wherein the sample signals comprise at least two of a synchronization signal, a reference signal and a zero-value resource unit, and n is a positive integer;

calculating n sample noise covariance matrixes corresponding to the sample signals;

and calculating the accumulated mean of the n sample noise covariance matrixes to obtain a result noise covariance matrix, wherein the result noise covariance matrix is used for indicating the noise condition of the received signal.

According to another aspect of the present application, there is provided an apparatus for estimating noise of a physical broadcast channel, the apparatus including:

a resource unit obtaining module, configured to obtain a target resource unit group in a target physical broadcast channel block, where the target resource unit group is at least two resource units in a specified time-frequency range in the target physical broadcast channel block;

a sample signal obtaining module, configured to obtain n sample signals from the target resource unit group, where the sample signals include at least two of a synchronization signal, a reference signal, and a zero-value resource unit, and n is a positive integer;

the first calculation module is used for calculating n sample noise covariance matrixes corresponding to the sample signals;

and the second calculation module is used for calculating the accumulated mean value of the n sample noise covariance matrixes to obtain a result noise covariance matrix, and the result noise covariance matrix is used for indicating the noise condition of the received signal.

According to another aspect of the present application, there is provided a receiver comprising a processor and a memory, the memory having stored therein at least one instruction, the instruction being loaded and executed by the processor to implement a method of noise estimation of a physical broadcast channel as provided in an implementation of the present application.

According to another aspect of the present application, there is provided a computer-readable storage medium having stored therein at least one instruction, which is loaded and executed by a processor to implement a method for noise estimation of a physical broadcast channel as provided in the implementations of the present application.

The technical scheme provided by the embodiment of the application brings beneficial effects that:

by obtaining a target resource element group in a target physical broadcast channel block, when the target resource element group comprises a synchronization signal, obtaining n corresponding sample signals, wherein the sample signals comprise the synchronization signal and a reference signal, n is a positive integer, calculating n sample noise covariance matrices corresponding to the sample signals, and calculating an accumulated mean of the n sample noise covariance matrices to obtain a result noise covariance matrix, wherein the result noise covariance matrix is used for indicating a noise condition of a received signal. According to the embodiment of the application, when the receiver comprises the synchronous signal in the target resource unit group, the receiver can obtain n sample signals comprising the synchronous signal and the reference signal, and the corresponding noise covariance matrix of the result is calculated according to the n sample signals, so that more samples can be obtained during noise estimation of the target physical broadcast signal block, the noise estimation is more accurate, and the signal receiving performance of the receiver is improved.

Drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a block diagram of a receiver according to an exemplary embodiment of the present application;

fig. 2 is a system block diagram of a noise estimation method for a physical broadcast channel according to an exemplary embodiment of the present application;

fig. 3 is a flowchart of a method for estimating noise of a physical broadcast channel according to an exemplary embodiment of the present application;

FIG. 4 is a schematic diagram based on the SSB structure shown in FIG. 3;

FIG. 5 is a flow chart of another method for estimating noise of a physical broadcast channel according to another exemplary embodiment of the present application;

FIG. 6 is a schematic diagram of a sample signal provided based on the embodiment shown in FIG. 5;

FIG. 7 is a schematic illustration of another sample signal provided based on the embodiment shown in FIG. 5;

fig. 8 is a block diagram illustrating a structure of a noise estimation apparatus for a physical broadcast channel according to an exemplary embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.

In the description of the present application, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art. Further, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

In this embodiment, the method for the receiver to estimate noise of the received Signal may be to subtract an LS estimation result of a DMRS (Demodulation Reference Signal) of a PBCH (Demodulation Reference Signal) from a result of channel estimation to obtain a noise value, where the noise values of multiple receiving antennas form a noise vector, and the noise vector is auto-correlated to obtain a noise covariance matrix of each RS (Reference Signal) point. In a specified time frequency range (namely a certain time frequency region), the receiver averages the noise autocorrelation matrixes of a plurality of RS points to obtain the statistical characteristics of interference and noise in the specified time frequency range. It should be noted that the statistical characteristics of the interference and noise in the specified time-frequency range are represented by a noise covariance matrix, and the noise covariance matrix is transmitted as an input signal to the demodulation module for noise whitening processing.

In order to make the solution shown in the embodiments of the present application easy to understand, several terms appearing in the embodiments of the present application will be described below.

3GPP (3 rd Generation Partnership Project, third Generation Partnership Project): an organization that specifies standardized communication rules.

SS (Synchronization Signal).

PSS (Primary Synchronization Signal ).

SSS (Secondary Synchronization Signal).

NE (Noise Estimation).

Noissecov (Noise variance matrix).

CE (Channel Estimation).

Demod (Demodulation).

BLER (Block Error Rate).

DFE (Digital Front End).

CSM (Cell Search and Measurement).

DEC (Decoding).

Illustratively, the noise estimation method of the physical broadcast channel shown in the embodiment of the present application may be applied in a receiver. The receiver may comprise a microcomputer, a cell phone, a tablet, a laptop, a desktop, a kiosk, a server, a workstation, or a television, etc.

Referring to fig. 1, fig. 1 is a block diagram of a receiver according to an exemplary embodiment of the present application. As shown in fig. 1, the receiver includes a processor 120, a memory 140 and a radio frequency antenna 160, wherein the memory 140 stores at least one instruction, and the instruction is loaded and executed by the processor 120 to implement the noise estimation method for a physical broadcast channel according to various method embodiments of the present application. The rf antenna 160 is used for transmitting and receiving wireless signals.

In the present application, the receiver 100 is an electronic device having a noise estimation function of PBCH. When receiver 100 acquires a target resource element group in an SSB (Synchronization Signal and PBCH Block), receiver 100 may acquire n corresponding sample signals when the target resource element group includes a Synchronization Signal, where the sample signals include the Synchronization Signal and a reference Signal, calculate n early covariance matrices of samples corresponding to the sample signals, calculate an accumulated mean of the n sample noise covariance matrices, and obtain a resultant noise covariance matrix, where the resultant noise covariance matrix is used to indicate a noise condition of a received Signal.

Processor 120 may include one or more processing cores. Processor 120 interfaces with various portions of the overall receiver 100 using various interfaces and lines to perform various functions of receiver 100 and process data by executing or executing instructions, programs, code sets, or instruction sets stored in memory 140 and invoking data stored in memory 140. Optionally, the processor 120 may be implemented in at least one hardware form of Digital Signal Processing (DSP), field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 120 may integrate one or a combination of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 120, and may be implemented by a single chip.

The Memory 140 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). Optionally, the memory 140 includes a non-transitory computer-readable medium. The memory 140 may be used to store instructions, programs, code sets, or instruction sets. The memory 140 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like; the storage data area may store data and the like referred to in the following respective method embodiments.

The rf antenna 160 is used for receiving signals transmitted by a transmitter, and receiving the signals into a receiver for processing.

Referring to fig. 2, fig. 2 is a system block diagram of a method for estimating noise of a physical broadcast channel according to an exemplary embodiment of the present disclosure. In fig. 2, a Radio Frequency front end (RF) 210, an Analog-to-Digital Converter (ADC) 220, a Digital Front End (DFE) 230, a fourier transform (FFT) chip 240, a Cell Search and Measurement (CSM) chip 250, a Noise Estimation (NE) chip 260, a Channel Estimation (CE) chip 270, a demodulation chip 280, and a decoding chip 290 are included.

It should be noted that, in practical applications, the digital front end 230 and the fourier transform chip 240 may be integrated into one hardware. For example, the digital front end 230 can implement the functionality of the fourier transform chip 240.

In the process of processing signals by the receiver, the rf front end 210 receives signals, and transmits the signals to the analog-to-digital converter 220 for conversion, so as to obtain converted signals. The signal is then transmitted into the digital front end 230. The digital front end 230 gains the signal of the Synchronization Signal (SS) in the time domain and then sends the signal to the cell search and measurement chip 250, performs fourier transform on the signal of the Synchronization Signal (SS) in the time domain by the fourier transform chip 240 to obtain the signal of the Synchronization Signal (SS) in the frequency domain, and also sends the signal gain to the cell search and measurement chip 250. The receiver performs fourier transform on the signal of the Synchronization Signal (SS) in the time domain by the fourier transform chip 240, and then sends the Reference Signal (RS) to the channel estimation chip 270, and sends the frequency domain signal Null RE Rec after gain to the noise estimation chip 260. Subsequently, the channel estimation chip 270 processes the signal to obtain a DMRS position LS estimation result 271 and a channel filtered channel estimation result 272, and sends the result to the noise estimation chip 260. The noise estimation chip 260 will output a noise variance matrix 261 to the demodulation chip 280. The demodulation chip 280 will also receive the signal transmitted by the channel estimation chip 270 and the signal transmitted by the fourier transform chip 240. The demodulation chip 280 processes the integrated information by LLR method, and sends the processed signal to the decoding chip 290, so that the receiver can successfully decode the received signal.

Referring to fig. 3, fig. 3 is a flowchart of a method for estimating noise of a physical broadcast channel according to an exemplary embodiment of the present application. The noise estimation method of the physical broadcast channel can be applied to the receiver shown above. In fig. 3, the noise estimation method of a physical broadcast channel includes:

step 310, a target resource unit group in the target physical broadcast channel block is obtained, where the target resource unit group is at least two resource units within a specified time-frequency range in the target physical broadcast channel block.

In the embodiment of the present application, the receiver can acquire a target resource element group in one SSB. Please refer to fig. 4, wherein fig. 4 is a schematic diagram of an SSB structure shown in fig. 3. In fig. 4, the horizontal axis direction represents the time domain, and 4 columns are, from left to right, an OFDM (orthogonal frequency division multiplexing) symbol 0, an OFDM symbol 1, an OFDM symbol 2, and an OFDM symbol 3, respectively. The vertical axis direction represents a frequency domain, and one SSB includes a total of 240 RE (Resource Element) widths in the frequency domain. In another way, one SSB includes 20 RB (Resource Block) widths in the frequency domain. In fig. 4, the SSB includes four types of signals, which are PBCH signals, PSS signals, SSS signals, and NULL (zero-valued resource elements) signals, respectively. In OFDM symbol 0, bits 0 to 47 RE and bits 192 to 239 RE are NULL signals, and bits 48 to 191 RE are PSS signals. In OFDM symbol 1 and OFDM symbol 3, PBCH signals are all used. In OFDM symbol 2, bits 0 to 55 RE and bits 183 to 239 RE are NULL signals, and bits 56 to 182 RE are SSS signals.

In the embodiment of the present application, the receiver can acquire one SSB in the received signal, and use the SSB as a target physical broadcast channel block (SSB). And, the receiver can acquire a target resource element group from the SSB.

Optionally, the target resource unit group occupies the frequency domain width of m resource blocks in the target physical broadcast channel block, the m resource blocks are continuous in the frequency domain, and m is a positive integer. Here, the meaning that m resource blocks are continuous in the frequency domain is that the positions of the resource blocks are continuous in the frequency domain. For example, the location where m is 3,3 resource blocks may be the 5 th resource block, the 6 th resource block, and the 7 th resource block.

Illustratively, the target resource element group may be a signal of a frequency domain width of 1 resource block. For example, resource element group 410 and resource element group 420 in fig. 4. If the target resource unit group is a signal of 1 resource block in the frequency domain width, the target resource unit group includes 4 × 12 resource units.

In the resource element group 410, the resource blocks 411, 412 and 413 all belong to PBCH signals, and the resource blocks of one PBCH signal include 3 RSs. Resource block 411, resource block 412, and resource block 413 each contain 3 RSs (reference signals), then 9 RSs in total in resource element group 410 may be used to calculate the resulting noise covariance matrix.

In resource element group 420, resource block 421 belongs to a PSS signal, resource block 422 and resource block 424 belong to a PBCH signal, and resource block 423 belongs to a SSS signal.

Illustratively, the target resource element group may also be a signal of a frequency domain width of 2 resource blocks. Such as resource element group 430 in fig. 4.

In step 320, when the target resource element group includes a synchronization signal, n corresponding sample signals are obtained, where the sample signals include the synchronization signal and a reference signal, and n is a positive integer.

Illustratively, the synchronization signal may be included in the target resource element group. For example, the resource element group 420 and the resource element group 430 in fig. 4 are both resource element groups including a synchronization signal. In contrast, the resource element group 410 in fig. 4 is a resource element group that does not include a synchronization signal.

Optionally, the synchronization signals include a Primary Synchronization Signal (PSS) and a Secondary Synchronization Signal (SSS).

In step 330, n sample noise covariance matrices corresponding to the sample signals are calculated.

In the embodiment of the present application, the receiver can calculate n sample noise covariance matrices corresponding to n sample signals according to a preset algorithm.

Step 340, calculating the cumulative mean of the n sample noise covariance matrices to obtain a resultant noise covariance matrix, where the resultant noise covariance matrix is used to indicate the noise condition of the received signal.

Illustratively, in the case where n sample noise covariance matrices have been obtained, the receiver can accumulate the n sample noise covariance matrices, find the accumulated mean, and determine the accumulated mean as a resultant noise covariance matrix, where the resultant noise covariance matrix is used to indicate the noise condition of the received signal.

In summary, the noise estimation method for a physical broadcast channel provided in this embodiment can obtain n corresponding sample signals when the target resource element group includes a synchronization signal by obtaining the target resource element group in the target physical broadcast channel block, where the sample signals include the synchronization signal and a reference signal, and n is a positive integer, calculate n sample noise covariance matrices corresponding to the sample signals, and calculate an accumulated mean of the n sample noise covariance matrices, to obtain a resultant noise covariance matrix, where the resultant noise covariance matrix is used to indicate a noise condition of a received signal. According to the embodiment of the application, when the receiver comprises the synchronous signal in the target resource unit group, the receiver can obtain n sample signals comprising the synchronous signal and the reference signal, and the corresponding noise covariance matrix of the result is calculated according to the n sample signals, so that more samples can be obtained during noise estimation of the target physical broadcast signal block, the noise estimation is more accurate, and the signal receiving performance of the receiver is improved.

Based on the scheme disclosed in the previous embodiment, the receiver can also perform noise estimation on the PBCH by adopting different methods according to different sample signals. Please refer to the following examples.

Referring to fig. 5, fig. 5 is a flowchart of another method for estimating noise of a physical broadcast channel according to another exemplary embodiment of the present application. In this method, the receiver can perform different noise estimation methods of PBCH according to the difference of sample signals. The noise estimation method of the physical broadcast channel can be applied to the receiver shown above. In fig. 5, the noise estimation method of the physical broadcast channel includes:

step 510, obtain a target resource unit group in the target physical broadcast channel block.

In the embodiment of the present application, the execution process of step 510 is the same as the execution process of step 310, and is not described herein again.

In step 521, when the secondary synchronization signal is included in the target resource unit group, corresponding n sample signals are obtained.

Wherein the sample signal comprises a secondary synchronization signal and a reference signal.

In this embodiment, when a receiver includes a Secondary Synchronization Signal (SSS) in a target resource element group, the receiver may obtain n corresponding sample signals.

Referring to fig. 6, fig. 6 is a schematic diagram of a sample signal provided based on the embodiment shown in fig. 5. In fig. 6, the target resource element group 600 includes 1 resource block wide resource blocks 4 OFDM symbols long, which are resource block 610, resource block 620, resource block 630, and resource block 640, respectively. Wherein resource block 610 belongs to a Primary Synchronization Signal (PSS), resource block 620 and resource block 640 belong to a PBCH signal, and resource block 630 belongs to a Secondary Synchronization Signal (SSS).

Resource block 610 includes a total of 12 resource units 6101 to 6112.

Resource block 620 includes a total of 12 resource units, resource unit 6201-resource unit 6212.

Resource block 630 includes a total of 12 resource units, resource unit 6301 to resource unit 6312.

Resource block 640 includes a total of 12 resource units 6401-6412.

In one possible use case, the receiver uses PSS, SSS and PBCH as sample signals. For the scenario that PSS is used as a sample signal, the total 12 resource units 6101 to 6112 can be used as the sample signal. For a scenario in which the SSS is used as a sample signal, a total of 12 resource units 6301 to 6312 may be used as the sample signal. For the scenario with PBCH as sample signal, resource element 6201, resource element 6204, resource element 6208, resource element 6401, resource element 6404, and resource element 6408 all act as RS, which may be 6 sample signals or may also act as sample signals. In this scenario, the total number of sample signals is 30.

In another possible use case, if the receiver uses SSS and PBCH as sample signals. In this usage scenario, for a scenario in which the SSS is a sample signal, a total of 12 resource units 6301 to 6312 may be used as the sample signal. In this usage scenario, for the PBCH sample signal,

resource elements

6201, 6204, 6208, 6401, 6404, and 6408 are all used as RSs for 6 sample signals. In this scenario, the sample signal is a total of 18 resource units.

Step 522, obtaining a second channel estimation result according to the channel interpolation coefficient and the first channel estimation result.

The first channel estimation result is a channel estimation result of the synchronization signal after channel filtering, the second channel estimation result is a channel estimation result of the synchronization signal after channel interpolation, and the channel interpolation coefficient is a channel interpolation coefficient corresponding to the time frequency position of the synchronization signal.

Alternatively, the receiver may interpolate a channel estimation value of a Synchronization Signal (SS) position using a channel-filtered channel estimation result of the DMRS of the PBCH. Since the sequence of the Synchronization Signal (SS) is a known sequence, an equivalent received signal after the SS signal has undergone a channel can be obtained. And the receiver subtracts the SS position equivalent received signal from the SS position actual received signal observation value to obtain a noise value, the noise values of a plurality of receiving antennas form a noise vector, and the noise vector is subjected to autocorrelation to obtain a noise covariance matrix of each SS point.

Illustratively, the calculation process of step 522 may be represented by the following formula.

H _{Interp，SS，i} ＝W _SS，i H _{Filter，RS，i}

Wherein, W _SS，i Is the channel interpolation coefficient, H _{Filter，RS，i} Is the first channel estimation result, H _{Interp，SS，i} Is the second channel estimation result.

Step 523, obtain a first noise value according to the first received signal observation value, the second channel estimation result, and the transmission signal.

The first received signal observation value is an actual received signal observation value of a time frequency position where the synchronization signal is located, and the first noise value is a noise value of the time frequency position where the synchronization signal is located.

Illustratively, the implementation of step 523 may be implemented by the following formula.

n _SS，i ＝y _SS，i -H _{Interp，SS，i} x _SS，i

Wherein n is _SS，i Is the first noise value, y _SS，i Is the first received signal observed value, H _{Interp，SS，i} Is the second channel estimation result, x _SS，i Is a transmit signal.

And step 524, obtaining q first noise values corresponding to the q antennas, where the q first noise values form a first noise vector, and q is a positive integer.

Illustratively, in the 5G NR technology, there are usually multiple rf antennas, and each antenna has a different noise value. The receiver can obtain q first noise values corresponding to q antennas, and the q first noise values form a first noise vector.

Step 525, the first noise vector is self-correlated to obtain a sample noise covariance matrix of the synchronization signal.

Illustratively, the implementation shown in step 525 may be represented by the following equation.

Wherein R is _nn，SS，i Is a sample noise covariance matrix, n _RS，i Is the first noise vector.

Step 531a, when the target resource unit group includes the primary synchronization signal and the zero resource unit, obtaining n corresponding sample signals.

Wherein the sample signal comprises a primary synchronization signal, zero-valued resource elements and a reference signal.

Referring to fig. 7, fig. 7 is a schematic diagram of another sample signal provided based on the embodiment shown in fig. 5. In the sample signal shown in fig. 7, the target resource element group 700 includes resource blocks 4 OFDM symbols long by 1 resource block width, which are resource block 710, resource block 720, resource block 730, and resource block 740, respectively. Wherein resource block 720 and resource block 740 belong to PBCH signals; the resource block 710 includes 3 resource units belonging to a Primary Synchronization Signal (PSS) and 9 resource units of zero value; resource block 730 includes 3 resource elements belonging to a Secondary Synchronization Signal (SSS) and 9 resource elements of zero value.

In one possible use case, if the receiver uses PSS, SSS, zero-valued resource elements, and PBCH as sample signals. For the scenario of PSS as sample signal, 3 resource elements in the resource block 710 will be the sample signal and 9 zero-valued resource elements will also be the sample signal. For the scenario of SSS as sample signal, 3 resource elements in resource block 730 would be sample signals and 9 zero-valued resource elements would also be sample signals. For a scenario in which PBCH is used as a sample signal, resource element 7201, resource element 7204, resource element 7208, resource element 7401, resource element 7404, and resource element 7408 are all used as RSs, which may be 6 sample signals or sample signals. In this scenario, the total number of sample signals is 30.

In another possible use case, if the receiver uses SSS, zero resource elements, and PBCH as sample signals. For the scenario of PSS as sample signal, 3 resource elements in the resource block 710 will be the sample signal and 9 zero-valued resource elements will also be the sample signal. For the scenario in which PBCH is used as a sample signal, resource element 7201, resource element 7204, resource element 7208, resource element 7401, resource element 7404, and resource element 7408 all serve as RSs, which may be total 6 sample signals or sample signals. In this scenario, the total number of sample signals is 18.

In another possible use case, if the receiver uses SSS and PBCH as sample signals. For the scenario of PSS as sample signal, 3 resource elements in resource block 710 will be the sample signal. For the scenario in which PBCH is used as a sample signal, resource element 7201, resource element 7204, resource element 7208, resource element 7401, resource element 7404, and resource element 7408 all serve as RSs, which may be total 6 sample signals or sample signals. In this scenario, the total number of sample signals is 9.

And 531b, when the target resource unit group includes the primary synchronization signal, the secondary synchronization signal and the zero-value resource unit, acquiring corresponding n sample signals.

The sample signal comprises a primary synchronization signal, a secondary synchronization signal, a zero value resource unit and a reference signal.

Based on the embodiment shown in fig. 6, on the basis of the existing 18 sample signals, the receiver may also take 12 resource units in the resource block 630 as sample signals, which total 30 sample signals, and n is taken as 30.

It should be noted that, in the embodiment of the present application, on one hand, the receiver may calculate a sample noise covariance matrix corresponding to the sample signal of the primary synchronization signal or the secondary synchronization signal by performing steps 522 to 525.

On the other hand, the receiver may calculate a sample noise covariance matrix corresponding to the sample signal of the resource element of zero value by performing steps 532 to 535.

Step 532, a second received signal observation is obtained.

And the second received signal observation value is an actual received signal observation value of the time-frequency position where the zero-value resource unit is located.

Step 533, using the second received signal observation as a second noise value.

Illustratively, the implementation of step 533 may be represented by the following equation.

n _Null，i ＝y _Null，i

Wherein, y _Null，i Is the second received signal observation, n _Null，i Is the second noise value.

In step 534, p second noise values corresponding to the p antennas are obtained, where the p second noise values form a second noise vector, and p is a positive integer.

Step 535, perform autocorrelation on the second noise vector to obtain a sample noise covariance matrix of zero resource units.

Illustratively, the implementation of step 535 may be represented by the following equation.

Wherein n is _Null，i Is the second noise vector, R _nn ，N _ull，i Is the sample noise covariance matrix. Wherein, (.) ^H Denotes the conjugate transpose, i denotes the ith position. Schematically, the meaning of i in this application means the same.

And 540, calculating the accumulated mean of the n sample noise covariance matrices to obtain a result noise covariance matrix.

In this embodiment of the application, the execution manner of step 540 is the same as the execution manner of step 340, and is not described herein again.

In summary, in this embodiment, the noise covariance matrix of the calculation result can be selected from the resource elements of the PSS, the resource elements of the SSS, the resource elements of the PSS, and the zero-valued resource elements in the SSB block, so that more samples can be obtained during noise estimation of the target physical broadcast signal block, and thus the noise estimation is more accurate, and the performance of the receiver for receiving signals is improved.

Optionally, in a possible implementation manner of the present application, the noise estimation of the physical broadcast channel is calculated by using the embodiment, so that a block error rate (BLER) can be significantly reduced in a low signal to interference plus noise ratio (SINR) region.

Optionally, in the present application, a target resource unit group with more than one resource block width may be selected optionally, and a plurality of resource blocks are selected from the target resource unit group as sample signals at will, so as to perform noise estimation operation, which is not limited to the above embodiment. For example, as shown in fig. 4, when acquiring target resource element groups of four resource block widths at the upper and lower edges, noise estimation calculation is performed using a NULL (zero value resource element) signal and a PBCH signal as sample signals.

The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.

Referring to fig. 8, fig. 8 is a block diagram illustrating a structure of a noise estimation apparatus for a physical broadcast channel according to an exemplary embodiment of the present application. The noise estimation means of the physical broadcast channel may be implemented as all or part of the receiver by software, hardware or a combination of both. The device includes:

a resource unit obtaining module 810, configured to obtain a target resource unit group in a target physical broadcast channel block, where the target resource unit group is at least two resource units in a specified time-frequency range in the target physical broadcast channel block;

a sample signal obtaining module 820, configured to obtain n corresponding sample signals when the target resource unit group includes a synchronization signal, where the sample signals include the synchronization signal and a reference signal, and n is a positive integer;

a first calculating module 830, configured to calculate n sample noise covariance matrices corresponding to the sample signals;

a second calculating module 840, configured to calculate a cumulative mean of the n sample noise covariance matrices, and obtain a resultant noise covariance matrix, where the resultant noise covariance matrix is used to indicate a noise condition of the received signal.

In an alternative embodiment, the synchronization signal to which the apparatus relates comprises at least one of a secondary synchronization signal or the primary synchronization signal.

In an optional embodiment, the first calculating module 830 is configured to, when the sample signal includes the zero-valued resource unit, obtain a second received signal observation value, where the second received signal observation value is an actual received signal observation value of a time-frequency position where the zero-valued resource unit is located; taking the second received signal observation as a second noise value; acquiring p second noise values corresponding to p antennas, wherein the p second noise values form a second noise vector, and p is a positive integer; and performing autocorrelation on the second noise vector to obtain the sample noise covariance matrix of the zero-value resource unit.

In an optional embodiment, the target resource element group occupies a frequency domain width of m resource blocks in the target physical broadcast channel block, where m resource blocks are consecutive in a frequency domain, and m is a positive integer.

In an optional embodiment, the first calculating module 830 is configured to obtain a second channel estimation result according to a channel interpolation coefficient and a first channel estimation result, where the first channel estimation result is a channel estimation result of the synchronization signal after channel filtering, the second channel estimation result is a channel estimation result of the synchronization signal after channel interpolation, and the channel interpolation coefficient is a channel interpolation coefficient corresponding to a time-frequency position where the synchronization signal is located; obtaining a first noise value according to a first received signal observation value, the second channel estimation result and a sending signal, wherein the first received signal observation value is an actual received signal observation value of a time-frequency position where the synchronous signal is located, and the first noise value is a noise value of the time-frequency position where the synchronous signal is located; obtaining q first noise values corresponding to q antennas, wherein the q first noise values form a first noise vector, and q is a positive integer; and performing autocorrelation on the first noise vector to obtain the sample noise covariance matrix of the synchronization signal.

The noise estimation apparatus for a physical broadcast channel provided in an embodiment of the present application can obtain n corresponding sample signals when the target resource element group includes a synchronization signal by obtaining a target resource element group in a target physical broadcast channel block, where the sample signals include the synchronization signal and a reference signal, and n is a positive integer, calculate n sample noise covariance matrices corresponding to the sample signals, and calculate an accumulated mean of the n sample noise covariance matrices, to obtain a resultant noise covariance matrix, where the resultant noise covariance matrix is used to indicate a noise condition of a received signal. According to the embodiment of the application, when the receiver comprises the synchronous signal in the target resource unit group, the receiver can obtain n sample signals comprising the synchronous signal and the reference signal, and the corresponding result noise covariance matrix is calculated according to the n sample signals, so that more samples can be obtained during noise estimation of the target physical broadcast signal block, the noise estimation is more accurate, and the signal receiving performance of the receiver is improved.

The present embodiments also provide a computer-readable medium, which stores at least one instruction, where the at least one instruction is loaded and executed by the processor to implement the noise estimation method for a physical broadcast channel according to the above embodiments.

It should be noted that: in the noise estimation apparatus for a physical broadcast channel according to the foregoing embodiment, when the noise estimation method for a physical broadcast channel is executed, only the division of the functional modules is described as an example, and in practical applications, the functions may be distributed to different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to complete all or part of the functions described above. In addition, the noise estimation apparatus for a physical broadcast channel and the noise estimation method for a physical broadcast channel provided in the foregoing embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments and are not described herein again.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only an exemplary embodiment of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for noise estimation of a physical broadcast channel, the method comprising:

2. The method of claim 1, wherein the synchronization signal comprises at least one of a primary synchronization signal or a secondary synchronization signal.

3. The method of claim 1 or 2, wherein when the sample signal comprises the zero-valued resource elements, calculating n sample noise covariance matrices for the sample signal comprises:

acquiring a second received signal observation value, wherein the second received signal observation value is an actual received signal observation value of the time-frequency position where the zero-value resource unit is located;

taking the second received signal observation as a second noise value;

acquiring p second noise values corresponding to p antennas, wherein the p second noise values form a second noise vector, and p is a positive integer;

and performing autocorrelation on the second noise vector to obtain the sample noise covariance matrix of the zero-value resource unit.

4. The method according to claim 1 or 2, wherein the target resource element group occupies a frequency domain width of m resource blocks in the target physical broadcast channel block, m of the resource blocks are consecutive in a frequency domain, and m is a positive integer.

5. The method of claim 1 or 2, wherein when the sample signal comprises the synchronization signal, calculating n sample noise covariance matrices corresponding to the sample signal comprises:

obtaining a second channel estimation result according to a channel interpolation coefficient and a first channel estimation result, wherein the first channel estimation result is a channel estimation result of the synchronous signal after channel filtering, the second channel estimation result is a channel estimation result of the synchronous signal after channel interpolation, and the channel interpolation coefficient is a channel interpolation coefficient corresponding to a time-frequency position where the synchronous signal is located;

obtaining a first noise value according to a first received signal observation value, the second channel estimation result and a sending signal, wherein the first received signal observation value is an actual received signal observation value of a time-frequency position where the synchronous signal is located, and the first noise value is a noise value of the time-frequency position where the synchronous signal is located;

obtaining q first noise values corresponding to q antennas, wherein the q first noise values form a first noise vector, and q is a positive integer;

and performing autocorrelation on the first noise vector to obtain the sample noise covariance matrix of the synchronization signal.

6. An apparatus for estimating noise of a physical broadcast channel, the apparatus comprising:

7. The noise estimation device of claim 6, wherein the synchronization signal comprises at least one of a primary synchronization signal or a secondary synchronization signal.

8. The noise estimation apparatus according to claim 6 or 7, wherein when the sample signal includes the zero-valued resource elements, the first calculation module is configured to:

taking the second received signal observation as a second noise value;

9. A receiver, characterized in that the receiver comprises a processor, a memory connected to the processor, and program instructions stored on the memory, which when executed by the processor implement the method of noise estimation of a physical broadcast channel according to any of claims 1 to 5.

10. A computer readable storage medium having stored thereon program instructions which, when executed by a processor, implement the method of noise estimation of a physical broadcast channel according to any one of claims 1 to 5.